Shuo Yang

I am a Ph.D. student at University of Pennsylvania, where I am advised by Professor George J. Pappas. I am affiliated with the GRASP Lab and PRECISE Center. Previously, I obtained my Bachelor's degree (Summa Cum Laude) from Shanghai Jiao Tong University in 2021 and I worked closely with Professor Xiang Yin. I have also spent time at Toyota Research and Tencent AI.

I am broadly interested in formal methods, machine learning, control theory, and algorithmic game theory, with their applications to robotic and multi-agents systems.

In the past, my work mainly cover

  • Game-theoretic motion planning for non-cooperative multi-agent systems
  • Learning-enabled safe planning and control for robotic and multi-agent systems
  • Building formal method guided trustworthy and reliable A.I. system
  • Formal verification and synthesis for hybrid systems
I am open to collaboration. Please drop me an email if you want to chat :)

Email  /  Linkedin /  CV  /  Github  /  Google Scholar  /  GRASP Page

Recent news
[Jul 2024] Our paper on Conformal Off-Policy Prediction is accepted by CDC 2024.
[May 2024] I co-organized the 2nd Workshop on MAD-Games: Multi-Agent Dynamic Games at ICRA 2024, Japan.
[Apr 2024] Glad to hear that I am selected as a 2024 DAAD AInet Fellow on Safe and Secure AI.
[Mar 2024] I wrote a simple and easy-to-use Nash Equilibrium Solver for Two-Player Zero-Sum games, feel free to play around with it.
[Jan 2024] Our paper on Learning Adaptive Safety is accepted by ICRA 2024.
[Jan 2024] New work on Learning Local Safety Filters for Hybrid Systems [preprint][code].
[Jan 2024] I give a talk at CMU Intelligent Control Lab.
[Jan 2024] Our paper on Safe Hybrid System is accepted by ACC 2024.
[Dec 2023] Selected as a Global Young PhD Fellow of Linear Capital.
[Dec 2023] I am invited to be an Area Chair of Tiny Papers @ ICLR 2024.
[Sep 2023] I give a talk at UPenn ASSET Seminar with Rahul.
[Sep 2023] Invited talk at UPenn Formal Methods & Machine Learning Seminar.
[Jul 2023] I give a talk at UMich Prof. Necmiye Ozay's group.


Research

(* indicates equal contribution)

Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments
Hongrui Zheng, Zhijun Zhuang, Stephanie Wu, Shuo Yang, Rahul Mangharam
Under review [PDF]

Learning Local Control Barrier Functions for Safety Control of Hybrid Systems
Shuo Yang, Yu Chen, Xiang Yin, Rahul Mangharam
Under review [PDF][code]

Multi-agent reinforcement learning guided by signal temporal logic specifications
Jiangwei Wang, Shuo Yang, Ziyan An, Songyang Han, Zhili Zhang, Meiyi Ma, Rahul Mangharam, Fei Miao
Under review [PDF][code]

Conformal Off-Policy Prediction for Multi-Agent Systems
Tom Kuipers, Renukanandan Tumu, Shuo Yang, Milad Kazemi, Rahul Mangharam, Nicola Paoletti
IEEE Conference on Decision and Control (CDC) 2024 [PDF]

MEGA-DAgger: Imitation learning with multiple imperfect experts
Xiatao Sun*, Shuo Yang*, Mingyan Zhou, Kunpeng Liu, Rahul Mangharam
IEEE International Conference on Intelligent Transportation Systems (ITSC) 2024 [PDF][code]

Learning Adaptive Safety for Multi-Agent Systems
Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu
IEEE International Conference on Robotics and Automation (ICRA) 2024 [PDF][code]

Safe Control Synthesis for Hybrid Systems through Local Control Barrier Functions
Shuo Yang, Mitchell Black, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Rahul Mangharam
American Control Conference (ACC) 2024 [PDF][code]

Safe perception-based control under stochastic sensor uncertainty using conformal prediction
Shuo Yang, George J. Pappas, Rahul Mangharam, Lars Lindemann
IEEE Conference on Decision and Control (CDC) 2023 [PDF][code]

You don't know when I will arrive: unpredictable controller synthesis for temporal logic tasks
Yu Chen*, Shuo Yang*, Rahul Mangharam, Xiang Yin
22nd IFAC World Congress 2023 [PDF]

A benchmark comparison of imitation learning-based control policies for autonomous racing
Xiatao Sun, Mingyan Zhou, Zhijun Zhuang, Shuo Yang, Johannes Betz, Rahul Mangharam
IEEE Intelligent Vehicles Symposium (IV) 2023 [PDF][code]

Differentiable safe controller design through control barrier functions
Shuo Yang*, Shaoru Chen*, Victor M. Preciado, Rahul Mangharam
IEEE Control Systems Letters (L-CSS) 2022 [PDF][code]

Verification and Synthesis of Opacity for Cyber-Physical Systems
Shuo Yang
Undergraduate Thesis, Shanghai Jiao Tong University 2021
Outstanding Bachelor Thesis Award of SJTU

Secure your intention: On notions of pre-opacity in discrete-event systems
Shuo Yang, Xiang Yin
IEEE Transactions on Automatic Control (TAC) 2022 [PDF]

Opacity of networked supervisory control systems over insecure communication channels
Shuo Yang, Junyao Hou, Xiang Yin, Shaoyuan Li
IEEE Transactions on Control of Network Systems (TCNS) 2021 [PDF]

Secure-by-construction optimal path planning for linear temporal logic tasks
Shuo Yang, Xiang Yin, Shaoyuan Li and Majid Zamani
IEEE Conference on Decision and Control (CDC) 2020 [PDF]



Experience

University of Pennsylvania, Philadelphia, PA, USA
Research Assistant . Aug. 2021 to present
Advisor: George J. Pappas

Tencent AI, Shenzhen, China
Research Scientist Intern. Jun. 2024 to Aug. 2024
Mentor: Haobo Fu

Toyota Research Institute of North America, Ann Arbor, MI, USA
Research Scientist Intern. May. 2023 to Aug. 2023
Mentors: Georgios Fainekos and Bardh Hoxha

Duke University, remote
Research Assistant . Jun. 2020 to Sep. 2020
Mentor: Michael Zavlanos

Shanghai Jiao Tong University, Shanghai, China
Research Assistant . Mar. 2019 to Jun. 2021
Advisor: Xiang Yin



Selected Honors

  • 2024, DAAD AInet Fellow (Safe and Secure AI)
  • 2024, Global Young PhD Fellow of Linear Capital
  • 2023, ACC Travel Grant
  • 2021, The Dean's Fellowship from Penn
  • 2021, Solomon M. Swaab Fellowship from Penn
  • 2021, Outstanding Graduate of SJTU
  • 2021, Outstanding Bachelor Thesis Award from SJTU (top 1%)
  • 2020, Person of the Year of SJTU (SJTU News Spotlight)
  • 2018 & 2019, Outstanding Academic Scholarship from SJTU

Service

  • Co-organizer: the 2nd Workshop on MAD-Games: Multi-Agent Dynamic Games @ ICRA 2024
  • Area Chair: Tiny Papers @ ICLR 2024, 2023
  • Reviewer:
    • American Control Conference (ACC)
    • IEEE Conference on Decision and Control (CDC)
    • International Conference on Cyber-Physical Systems (ICCPS)
    • Advances in Neural Information Processing Systems (NeurIPS)
    • AAAI Conference on Artificial Intelligence (AAAI)
    • IEEE Transactions on Automatic Control (TAC)
    • IEEE Robotics and Automation Letters (RA-L)
    • IEEE Control Systems Letters (L-CSS)
    • IEEE Transactions on Intelligent Vehicles (TIV)
    • Nonlinear Analysis: Hybrid Systems (NAHS)
    • IEEE International Conference on Robotics and Automation (ICRA)
    • IROS 2023 Workshop on Multi-agent Dynamic Games (MAD-Games)
    • NeurIPS 2023 AI for Science Workshop (AI4Science)
    • etc.


Template from Jon Barron.
Last updated Aug 2024.